NDLI: Satellite image contrast enhancement algorithm based on plateau histogram equalization

Content Provider	IEEE Xplore Digital Library
Author	Aedla, R. Dwarakish, G.S. Reddy, D.V.
Copyright Year	2014
Description	Author affiliation: Dept. of Appl. Mech. & Hydraulics, Nat. Inst. of Technol. Karnataka (NITK), Surathkal, India (Aedla, R.; Dwarakish, G.S.) \|\| Dept. of Civil Eng., Nat. Inst. of Technol. Karnataka (NITK), Surathkal, India (Reddy, D.V.)
Abstract	The quality of remotely sensed satellite images depends on the reflected electromagnetic radiation from earth surface features. Lack of consistent and similar amounts of energy reflected by different features from earth surface, results a low contrast satellite image. Enhancement of contrast is needed for satellite images to identify and extract objects from images, where features are essential in studying earth applications. In this paper, a new contrast enhancement technique for satellite images based on clipping or plateau histogram equalization has been proposed. The technique adopted Bi-Histogram Equalization with Plateau Limit (BHEPL) for image decomposition and Self-Adaptive Plateau Histogram Equalization (SAPHE) for threshold calculation. The proposed method has been compared with existing methods such as Histogram Equalization (HE), Brightness Preserving Bi-Histogram Equalization (BBHE), Minimum Mean Brightness Error Bi-Histogram Equalization (MMBEBHE), Dynamic Histogram Equalization (DHE), Bi-Histogram Equalization with Plateau Limit (BHEPL) and Self-Adaptive Plateau Histogram Equalization (SAPHE) with image quality measures such as Absolute Mean Brightness Error (AMBE) and Peak-Signal to Noise Ratio (PSNR).
Sponsorship	IEEE Malaysia Sect.
Starting Page	213
Ending Page	218
File Size	693106
Page Count	6
File Format	PDF
e-ISBN	9781479920273
DOI	10.1109/TENCONSpring.2014.6863028
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-14
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Satellites PSNR Brightness preserving Brightness Contrast enhancement Satellite image Plateau histogram equalization Mathematical model Equations
Content Type	Text
Resource Type	Article

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